Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis

Information Sciences

Volumn 168, Issue 1-4, 2004, Pages 77-94

  Kahraman, Cengiz ^a   Beskese, Ahmet ^b   Ruan, Da ^c  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b BAHCESEHIR UNIVERSITY   (Turkey)

^c BELGIAN NUCLEAR RESEARCH CENTRE   (Belgium)

Author keywords

Computer integrated manufacturing systems; Fuzzy cash flow analysis; Fuzzy intervals; Fuzzy numbers; Manufacturing flexibility

Indexed keywords

COMPUTER INTEGRATED MANUFACTURING; DECISION THEORY; EXPERT SYSTEMS; FINANCE; FLEXIBLE MANUFACTURING SYSTEMS; FORCE CONTROL; INDUSTRIAL ECONOMICS; LINGUISTICS;

CASH FLOW ANALYSIS; FUZZY INTERVALS; FUZZY MODELS; FUZZY NUMBERS; MANUFACTURING FLEXIBILITY; NON-INFLATIONARY CONDITIONS;

FUZZY SETS;

EID: 9544252175     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2003.11.004     Document Type: Article

References (33)

1. A. Beskese, C. Kahraman, Z. Irani, Quantification of flexibility in advanced manufacturing systems using fuzzy present worth analysis, in: Proceedings of the 2nd International Conference on Systems Thinking in Management, University of Salford, UK, April 3-5, 2002, pp. B1.17-24.
2. A. Beskese, C. Kahraman, D. Ruan, Flexibility quantification in computer integrated manufacturing systems based on fuzzy cash flow analysis, in: Proceedings of the 5th International FLINS Conference, Gent, Belgium, September 16-18, 2002, pp. 171-178.
3. A.H. Boussabaine, T.M.S. Elhag, Applying fuzzy techniques to cash flow analysis, Construction Management and Economics 6 (1999) 745-755.
4. J.J. Buckley, The fuzzy mathematics of finance, Fuzzy Sets and Systems 21 (1987) 257-273.
5. J.J. Buckley, E. Eslami, T. Feuring, Fuzzy Mathematics in Economics and Engineering, Physica-Verlag, 2002.
6. W. Chang, Ranking of Fuzzy Utilities with Triangular Membership Functions, in: Proc. Int. Conf. of Policy Anal. and Inf. Systems, 1981, pp. 263-272.
7. C. Chiu, C.S. Park, Fuzzy cash flow analysis using present worth criterion, The Engineering Economist 2 (1994) 113-138.
8. J.G. Demmel, R.G. Askin, A multiple objective decision model for the evaluation of advanced manufacturing system technologies, Journal of Manufacturing Systems 3 (1992) 179-194.
9. A.D. Dimitrovski, M.A. Matos, Fuzzy engineering economic analysis, IEEE Transactions on Power Systems 1 (2000) 283-289.
10. D. Dubois, H. Prade, Ranking fuzzy numbers in the setting of possibility theory, Information Sciences 30 (1983) 183-224.
11. J.H. Hodder, H.E. Riggs, Pitfalls in evaluating risky projects, Harvard Business Review 1 (1985) 128-135.
12. G.K. Hutchinson, D. Sinha, A quantification of the value of flexibility, Journal of Manufacturing Systems 1 (1989) 47-57.
13. K. Iwamura, B. Liu, Chance constrained integer programming models for capital budgeting in fuzzy environments, Journal of the Operational Research Society 8 (1998) 854-860.
14. R. Jain, Decision making in the presence of fuzzy variables, IEEE Transactions on Systems Management Cybernet 6 (1976) 698-703.
15. C. Kahraman, Capital budgeting techniques using discounted fuzzy cash flows, in: D. Ruan, J. Kacprzyk, M. Fedrizzi (Eds.), Soft Computing for Risk Evaluation and Management: Applications in Technology, Environment and Finance, Physica-Verlag, Heidelberg, 2001, pp. 375-396.
16. C. Kahraman, D. Ruan, E. Tolga, Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows, Information Sciences 142 (2002) 57-76.
17. C. Kahraman, E. Tolga, Z. Ulukan, Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis, International Journal of Production Economics 1 (2000) 45-52.
18. R.S. Kaplan, Must CIM be justified by faith alone?, Harvard Business Review 2 (1986) 87-95.
19. E.E. Karsak, Measures of liquidity risk supplementing fuzzy discounted cash flow analysis, Engineering Economist 4 (1998) 331-344.
20. A. Kaufmann, M.M. Gupta, Fuzzy Mathematical Models in Engineering and Management Science, Elsevier Science Publishers, 1988.
21. I. Krinsky, J. Miltenburg, Alternate method for the justification of AMT, International Journal of Production Research 9 (1990) 997-1015.
22. D. Kuchta, Fuzzy capital budgeting, Fuzzy Sets and Systems 111 (2000) 367-385.
23. M. Kurtz, Calculations for Engineering Economic Analysis, McGraw-Hill, 1995.
24. T.-S. Liou, M.-J. Wang, Ranking fuzzy numbers with integral value, Fuzzy Sets and Systems 50 (1992) 247-255.
25. Y.S. Pyoun, B.Y. Choi, Quantifying the flexibility value in automated manufacturing systems, Journal of Manufacturing Systems 2 (1994) 108-118.
26. Y.K. Son, C.S. Park, Economic measure of productivity, quality, and flexibility in advanced manufacturing systems, Journal of Manufacturing Systems 3 (1987) 193-206.
27. A. Stam, M. Kuula, Selecting a FMS using multiple criteria analysis, International Journal of Production Research 4 (1991) 803-820.
28. N.C. Suresh, Towards an integrated evaluation of flexible automation investments, International Journal of Production Research 9 (1990) 1657-1672.
29. N.C. Tsourveloudis, Y.A. Phillis, Manufacturing flexibility measurement: a fuzzy logic framework, IEEE Transactions on Robotics and Automation 4 (1998) 513-524.
30. R.N. Wabalickis, Justification of FMS with the AHP, Journal of Manufacturing Systems 3 (1988) 175-182.
31. R.R. Yager, On choosing between fuzzy subsets, Kybernetes 9 (1980) 151-154.
32. M.S. Zahir, Incorporating the uncertainty of decision judgements in the AHP, European Journal of Operational Research 53 (1991) 206-216.
33. H.-J. Zimmermann, Fuzzy Set Theory and its Applications, Kluwer Academic Publishers, Boston, MA, 1994.